Computer Vision and Deep Learning Engineer
Herzliya, Tel Aviv District, Israel
Machine Learning and AI
We are seeking a talented Computer Vision Research Engineer to join our team. The job will focus on developing deep learning models for 3D reconstruction and perception using state-of-the-art deep learning techniques. As a key member of our team, you’ll be involved in the entire process of designing and training these models whose derivatives will be deployed in various Apple products.
Description
Model Development:
Design, implement, and optimize deep learning models for various tasks in the field of 3D vision.
Research:
* Contribute to the development of algorithms and models within the domain of 3D vision.
* Implement and validate models using various data sets.
* Investigate the application of unsupervised data and knowledge distillation techniques to enhance the performance of machine learning models.
* Conduct research to explore novel techniques and algorithms.
* Stay updated with recent advancements in the field.
* Design and utilize various metrics to evaluate your work.
Data Analysis:
*Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
*Analyze the results of your algorithm and compare with other leading methods.
Algorithm Optimization:
* Optimize models for real-time performance and resource efficiency.
Collaboration:
* Work in sync with interdisciplinary teams to integrate models into larger products or research studies.
* Collaborate with international teams.
Minimum Qualifications
- Strong foundation in computer vision, machine learning, and deep learning.
- Knowledge in the field of 3D computer vision techniques (e.g. stereo, structure from motion, camera model).
- Proficiency in Python and deep learning frameworks (e.g. PyTorch).
- Experience in working with large scale datasets.
- Experience with optimizing models in both size and runtime
Key Qualifications
Preferred Qualifications
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field.
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV).
- Analytical and detail-oriented with a knack for problem-solving.
- Proficient in both written and verbal communication.
- Ability to work both autonomously and collaboratively.
- Friendliness